Core Responsibilities:
- Develops modeling approaches for implementing new, market-leading analytics-based tools to understand and address risk
- Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds Machine Learning models, and finalizes with results that unlock insight for clients and colleagues
- Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization
- Stays current with ongoing research in the field and brings new approaches to the team
- Serves as an internal expert resource and champion for data science within Marsh.

We will count on you to:
- Hands on expertise in Python and Data related packages such as pandas, numpy, matplotlib, streamlit etc.
- Hands on expertise in Power BI.
- Build machine learning algorithms based on the business ask




- Deploy API on the platform by understanding the technical ask
- Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development
- Utilize risk models related to Time Series Forecasting, Clustering, GLM/Regression, Boosting, Trees, etc.
- Use advanced analytics to augment consulting deliverables with data backed outputs
- Conduct research on the clients risk areas and prepare a point of view for consulting.

What you need to have:
- Bachelors Degree in Engineering, Computer Science, Data Science, or related fields
- 0-1 year of experience in the field of Data Science, AI research or similar fields
- Ability to develop strong internal/external client oriented solutions
- Superior detail orientation, excellent communication and interpersonal skills
- Hands on expertise of contemporary programming languages such as Python and SQL
- Understanding Risk modelling and in

📌 Senior Engineer (Mumbai)
🏢 Oliver Wyman
📍 Mumbai